Myocardial function and aerobic fitness in adolescent females
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Transcript of Myocardial function and aerobic fitness in adolescent females
ORIGINAL ARTICLE
Myocardial function and aerobic fitness in adolescent females
Thomas Rowland • Viswanath Unnithan •
Denise Roche • Max Garrard • Kathyryn Holloway •
Simon Marwood
Received: 24 October 2010 / Accepted: 7 January 2011 / Published online: 20 January 2011
� Springer-Verlag 2011
Abstract A recent report indicated that variations in
myocardial functional (systolic and diastolic) responses to
exercise do not contribute to inter-individual differences in
aerobic fitness (peak VO2) among young males. This study
was designed to investigate the same question among
adolescent females. Thirteen highly fit adolescent football
(soccer) players (peak VO2 43.5 ± 3.4 ml kg-1 min-1)
and nine untrained girls (peak VO2 36.0 ± 5.1 ml kg-1
min-1) matched for age underwent a progressive cycle
exercise test to exhaustion. Cardiac variables were mea-
sured by standard echocardiographic techniques. Maximal
stroke index was greater in the high-fit group (50 ± 5 vs.
41 ± 4 ml m-2), but no significant group differences were
observed in maximal heart rate or arterial venous oxygen
difference. Increases in markers of both systolic (ejection
rate, tissue Doppler S0) and diastolic (tissue Doppler E0,mitral E velocity) myocardial functions at rest and during
the acute bout of exercise were similar in the two groups.
This study suggests that among healthy adolescent females,
like young males, myocardial systolic and diastolic
functional capacities do not contribute to inter-individual
variability in physiologic aerobic fitness.
Keywords Peak oxygen uptake � Echocardiography �Cardiac output
Introduction
The greatest rate that oxygen can be delivered to and uti-
lized by exercising muscle (maximal aerobic power, peak
VO2) serves as the primary marker of physiologic aerobic
fitness as well as an index of performance capacity in
endurance exercise. The determinant factors which define
peak VO2 and explain inter-individual differences in aer-
obic fitness have been well defined in young males
(Rowland et al. 1999a, b; Obert et al. 2005). Level of peak
VO2 in this group is dictated specifically by the ability to
generate stroke volume at maximal exercise, which in turn
is a reflection of left ventricular end-diastolic and systolic
volume. On the other hand, variations in myocardial
function, defined as contractile rate and force (systolic) and
properties of relaxation (diastolic), appear to play no role in
defining maximal stroke volume, and, by extension, peak
VO2 among healthy young males (Rowland et al. 2009).
This is consistent with a model whereby peripheral, non-
cardiac factors such as the influence of plasma volume on
ventricular size play principal roles in defining level of
aerobic fitness (Perrault and Turcotte 1993).
Whether similar determinants influence variations in
aerobic fitness among young females has not been well
investigated. Certain information suggests that gender
differences might, in fact, exist. Stroke volume is lower in
female compared to male youths, even when body com-
position is considered (Rowland et al. 2000). In addition,
Communicated by Keith Phillip George.
T. Rowland (&)
Department of Pediatrics, Baystate Medical Center, Springfield,
MA 01106, USA
e-mail: [email protected]
V. Unnithan � D. Roche � M. Garrard � K. Holloway �S. Marwood
Sport and Exercise Physiology Research Team,
Liverpool Hope University, Liverpool, UK
Present Address:V. Unnithan
Centre for Sports, Health and Exercise, Staffordshire University,
Stoke-on-Trent, UK
123
Eur J Appl Physiol (2011) 111:1991–1997
DOI 10.1007/s00421-011-1835-1
athletically trained college-aged females demonstrate less
relative myocardial hypertrophy than their male counter-
parts (George et al. 1995). Compared to females, adult men
demonstrate a greater ventricular contractile response to
exercise (Higginbotham et al. 1984). In rats, myocardial
function with sympathetic stimulation is greater in males
than females (Vizgirda et al. 2002). Such gender differ-
ences could reflect differential effects of testosterone and
estrogen on myocardial function (Schaible et al. 1984;
Vuolteenaho and Ruskoaho 2003).
Among 10–11-year-old girls and boys, Obert et al.
(2005) found that resting values of left ventricular dimen-
sions and stroke volume served to differentiate VO2max
levels in low, moderate, and high-fit groups. Thoren and
Asano (1984) found greater maximal stroke volume but not
heart rate or arterial venous oxygen difference in a small
number of high-fit girls compared to low-fit subjects. The
role of myocardial systolic and diastolic functional
responses to exercise in differentiating levels of aerobic
fitness in young females has not previously been studied.
This study utilized echocardiographic techniques to
identify the determinant cardiac factors which define level
of peak VO2 in adolescent females. Specifically, attention
was focused on the potential role of myocardial systolic
and diastolic function in discriminating inter-individual
levels of aerobic fitness in this group.
Methods
Thirteen adolescent female football (soccer) players (mean
age 14.6 ± 0.7 years) and nine healthy, nonathletic girls
(15.0 ± 0.6 years) from a local school were recruited for
exercise testing. All were in good health, nonobese, non-
smokers, and taking no medications that would influence
cardiovascular fitness. No subject had taken oral contra-
ceptives. Data in the nonathletes were included in a
previously published study examining gender influences
on myocardial functional responses to acute exercise
(Rowland et al. 2010).
The footballers were participants in a competitive club,
with a training history averaging 10.3 ± 1.4 months per
year for the past 6.4 ± 0.9 years. By questionnaire, the
nonathletic group reported neither regular physical activity
nor participation in sports play. Level of sexual maturation
was estimated by Tanner stage self-assessment. Among the
soccer players, three were in stage 5, four in stage 4, three
in stage 3, one in stage 2, and one in stage 1. In the non-
athletic group, eight were in stage 4 and one in stage 3.
This study was approved by an institutional ethics
committee at Liverpool Hope University. Informed written
permission and assent were obtained from the parents and
subjects, respectively.
Stature and body mass were determined by stadiometer
and balanced beam scale, respectively. Body fat content
was estimated by the air displacement plethysmography
method (Bod Pod, Life Measurement, Inc., Concord, CA,
USA).
Left ventricular dimensions were measured at rest by
two-dimension directed M-mode echocardiography with
the subjects in the supine left lateral position (Model
HD11, Philips Medical Systems, Eindhoven, the Nether-
lands). Values were averaged from three measurements
made in the parasternal view, just distal to the tips of the
open mitral valve leaflets. Left ventricular end-diastolic
dimension (LVED) was recorded from the trailing edge of
the ventricular septum to the endocardial surface of the
posterior wall, coincident with the onset of the QRS
complex on the electrocardiogram. Ventricular septal and
posterior wall thicknesses were determined in end diastole.
Left ventricular end-systolic dimension (LVES) was mea-
sured as the shortest distance between the posterior edge of
the ventricular septum and posterior wall endocardium
during ventricular systole. Values of chamber dimensions
and wall thickness were expressed relative to the square
root of body surface area (BSA) (Gutgesell and Rembold
1990). Left ventricular fractional shortening (FS) was
calculated as (LVED – LVES)/LVED 9 100.
Left ventricular diastolic volume (LVEDV) was calcu-
lated by the formula of Teichholz et al. (1976): LVEDV
(ml) = [7(2.4 ? LVED)] 9 LVED3. Left ventricular
mass (LVM) was obtained by the cube formula 1.04
[(LVED ? LVPW ? LVS)3 – LVED3] – 14 (Devereux
and Reichek 1977). Both LVEDV and LVM were
expressed relative to BSA1.5 (Gutgesell and Rembold
1990).
Subjects performed a progressive maximal cycle exer-
cise test to exhaustion on an electronically braked ergom-
eter (Excalibur Sport 925900; Lode, Groningen, the
Netherlands). Cadence was maintained at 60 rpm with
initial and incremental loads of 35 W applied in 3-min
stages. Peak exercise was defined as the point when the
subject could no longer maintain the pedal cadence despite
verbal encouragement, in conjunction with objective evi-
dence of fatigue plus peak heart rate [180 bpm or RER-
max (peak respiratory exchange ratio)[1.00. No effort was
made to consider timing of menstrual period with sched-
uling of exercise testing.
Gas exchange variables were obtained using standard
open circuit techniques with a Cosmed K4b2 system
(Cosmed, Rome, Italy). A pneumotachometer was utilized
for recording minute ventilation. The system was calibrated
before testing with known oxygen and carbon dioxide
concentrations. Peak VO2 was defined as the average of the
two highest 20-s mean values determined during the final
minute of exercise.
1992 Eur J Appl Physiol (2011) 111:1991–1997
123
Heart rate was determined electrocardiographically.
Stroke volume was estimated at rest, during each sub-
maximal stage, and at peak exercise by standard Doppler
ultrasound techniques (Rowland and Obert 2002). A 1.9-
mHz transducer interrogated velocity of blood flow in the
ascending aorta from the suprasternal notch. The average
of the 3–5 highest velocity–time integrals (VTI) was
multiplied by the aortic valve area to obtain stroke volume
(SV). Aortic valve area was calculated from the maximal
aortic valve diameter at the valve hinge points measured at
rest in a parasternal long axis view with the subject in the
sitting position on the cycle ergometer. Acceptable validity
and reliability of this technique measuring stroke volume
have previously been reported (see Rowland and Obert
2002 for review).
Cardiac output (Q) was calculated as the product of
concomitantly obtained values of heart rate and stroke vol-
ume. Both Q and SV were indexed to body surface area.
Arterial venous oxygen difference was calculated as VO2/Q.
Arterial blood pressure was recorded in the left arm by
the auscultatory technique. Mean arterial pressure (MAP)
was calculated as MAP = 1/3(systolic – diastolic) ? dia-
stolic pressure. Systemic vascular resistance was derived
from MAP/Q.
Peak blood flow velocity across the mitral valve in early
diastole (E wave) was recorded by Doppler pulse wave
interrogation with 5.0 MHz transducer at the level of the
tips of the open valve leaflets in the apical four-chamber
view. Mean value was calculated as the average of the
consistently highest values (typically 3–10 beats). Late
diastolic filling velocity (A wave) was not considered as
this wave rapidly merged with the E wave with low-exer-
cise intensities.
Pulse-wave tissue Doppler imaging (TDI) was performed
at the lateral aspect of the mitral valve annulus to record
longitudinal myocardial systolic (S0 wave) and diastolic (E0
wave) velocities with the same transducer in the apical four-
chamber view. Each off-line measurement again represented
the average of the 3–10 highest velocities. Transducer
alignment was considered optimal when the ventricular
septum was observed to be vertical. To facilitate measure-
ments, one staff member positioned the transducer while the
other regulated the echocardiographic controls. All mea-
surements were made during spontaneous respirations.
Values for TDI-E0 and TDI-S0, both being influenced by
ventricular dimensions, were adjusted for LVED (Eidem
et al. 2004; Batterham et al. 2008). Satisfactory reliability of
this method during maximal exercise testing has been
reported previously, with coefficients of variation ranging
from 2.8 to 8.1% at maximal exercise (Bougault et al. 2008;
Rowland and Willers 2010).
The battery of measurements of heart rate, blood pres-
sure, VTI, mitral E, TDI-S0, and TDI-E0 were obtained at
rest, beginning at 1:30 in each 3-min stage, and during the
final minute of exercise. Systolic ejection rate, normalized
for left ventricular mass, and TDI-S0 were considered as
markers of systolic function (Bach 1996; Pai et al. 1991;
Roberson and Cui 2009). The former was calculated as
absolute stroke volume divided by systolic ejection time,
obtained from the duration of the VTI curve. Peak mitral
E velocity was interpreted as an indicator of the transmitral
pressure gradient, with TDI-E0 serving as a marker of
‘‘downstream’’ rate of myocardial relaxation (diastolic
function) (Jacques et al. 2004; Sohn et al. 1997) and the
ratio of E/E0 as an indicator of upstream left ventricular
filling pressure (Nagueh et al. 1997; Ommen et al. 2000)
(see Rowland (2008) for review).
Statistical analysis was performed with SPSS version 16
(SPSS Inc, Chicago, IL, USA). Values were expressed as
mean ± standard deviation. Values at rest and peak exer-
cise between the two groups were compared by indepen-
dent t test. Two-way ANOVA (group 9 time) with
repeated measures was used to examine the significance of
changes in variables during exercise. Post hoc comparisons
were made by Bonferroni-corrected t tests. Statistical sig-
nificance was defined as P B 0.05.
Results
Mean body mass for the athletes was 57.4 ± 8.0 kg, height
161 ± 5 cm, and body surface area (BSA) 1.59 ±
0.12 m2. Respective values for the nonathletes were
52.3 ± 7.0 kg, 160 ± 4 cm, and 1.53 ± 0.11 m2. Average
percent body fat was 16.3 ± 5.3% for the athletes and
20.1 ± 5.8% for the nonathletes (P [ 0.05 for all anthro-
pometric group comparisons).
No significant differences were observed in peak heart
rate between the athletes and nonathletes (189 ± 12 and
191 ± 9 bpm, respectively) or RER (1.01 ± 0.06 and
1.07 ± 0.07, respectively), indicating that both groups
performed to an equal maximal voluntary effort. Peak VO2
relative to body mass was 21% greater in the athletes
(43.5 ± 3.4 vs. 36.0 ± 5.1 ml kg min-1) (P \ 0.05).
Values for echocardiographic measurements at rest of
left ventricular size, wall thickness, contractility, mass, and
volume are presented in Table 1. The athletes demon-
strated a significantly greater average relative cardiac mass
as well as septal and posterior wall thicknesses. Ventricular
volume was greater in the athletes, but the difference from
nonathletes did not reach a level of statistical significance.
Global systolic function at rest, as indicated by values of
ventricular shortening fraction, was similar in the two
groups.
Cardiovascular variables at rest and maximal exercise
are outlined in Table 2. Maximal cardiac index was
Eur J Appl Physiol (2011) 111:1991–1997 1993
123
significantly greater in the athletes, a reflection of higher
relative stroke volume both at rest (?19%) and maximal
exercise (?25%). These variables accounted for the sig-
nificant inter-group differences in peak VO2, since maximal
values for arterial venous oxygen difference and heart rate
were similar in the athletes and nonathletes. Calculated
systemic vascular resistance was lower in the athletes both
at rest and maximal exercise, but no difference in the
magnitude of change during the exercise test was observed
between the two groups.
The pattern of stroke volume response to progressive
exercise in the athletes mimicked that of the nonathletes
(Fig. 1). At onset of upright exercise, values rose, but by
early-mid work intensities SV (\50% peak VO2) showed
no significant change to exhaustion. Values for stroke
index were greater for the athletes at all levels of exercise.
No significant differences were observed between the
athletes and nonathletes in resting or maximal values of
systolic function (Figs. 2, 3, 4). Adjusted systolic ejection
rate rose by 93 and 80% in the athletes and nonathletes,
respectively, and adjusted TDI-S0 by 121 and 148%. Simi-
larly, resting and exercise measures of diastolic function
were similar in the two groups. Adjusted TDI-E0 increased
by 122% in the athletes and 131% in the nonathletes, while
E/E0 remained stable in both groups of subjects. Repeated
measures ANOVA revealed main effects for exercise dura-
tion for all measures except E/E0 with group effects for Q and
SV. No group 9 time interaction was seen for any exercise
variable.
Discussion
The cardiac dynamics during a progressive upright exercise
test in healthy, untrained subjects are well recognized
(Rowland 2005). Following an early rise, stroke volume
shows little change at mid- and high-exercise intensities,
while left ventricular end-diastolic dimension, reflecting
ventricular preload, remains stable or declines slightly.
Markers of myocardial systolic and diastolic function
steadily rise, serving to maintain (rather than increase)
stroke volume as ventricular ejection and filling times
shorten with the increase in heart rate.
The findings in this study indicate that, within this
construct, myocardial functional capacity does not con-
tribute to inter-individual differences in aerobic fitness
(peak VO2) between average and high-fit adolescent
females. Despite a 21% difference in peak VO2, measures
Table 1 Resting echocardiographic measures of left ventricular
mass, volume, and dimensions in young female athletes (N = 13) and
nonathletes (N = 9)
Athletes Nonathletes
LVED (mm BSA-0.5) 37.1 ± 1.8 36.6 ± 1.7
LVES (mm BSA-0.5) 22.7 ± 1.9 22.5 ± 0.9
VSd (mm BSA-0.5) 7.2 ± 0.8 6.5 ± 0.7*
PWd (mm BSA-0.5) 7.3 ± 1.0 6.3 ± 0.5*
Shortening fraction (%) 38.8 ± 5.1 38.5 ± 2.0
LVEDV (ml BSA-1.5) 63.9 ± 7.1 61.1 ± 6.9
LVM (g BSA-1.5) 80.3 ± 11.9 63.7 ± 6.7*
Values are mean ± SD
LVED left ventricular end-diastolic dimension; LVES left ventricular
end-systolic dimension; VSd ventricular septal thickness, diastole;
PWd left ventricular posterior wall thickness, diastole; BSA body
surface area (m2)
* P B 0.05 for athletes versus nonathletes
Table 2 Cardiovascular measures at rest and maximal exercise in
athletes and nonathletes
Athletes Nonathletes
Heart rate (bpm)
Rest 73 ± 13 76 ± 14
Maximum 189 ± 12 191 ± 9
Stroke index (ml m-2)
Rest 42 ± 10 33 ± 6*
Maximum 50 ± 5 41 ± 4*
Cardiac index (L min-1 m-2)
Rest 3.02 ± 0.91 2.55 ± 0.72
Maximum 9.53 ± 0.99 7.80 ± 1.03*
Arterial venous oxygen difference (ml 100 ml-1)
Rest 7.5 ± 2.5 7.4 ± 2.1
Maximum 18.1 ± 2.7 17.6 ± 3.1
Systemic vascular resistance (units)
Rest 18.3 ± 4.9 23.0 ± 6.9*
Maximum 5.7 ± 0.7 7.4 ± 1.5*
Systolic function
Systolic ejection rate, adjusted (ml s-1 g-1 9 10-4)
Rest 19.9 ± 4.1 21.1 ± 4.2
Maximum 38.5 ± 6.3 37.9 ± 4.9
TDI-S, adjusted (cm s-1 mm-1 9 10-2)
Rest 18.0 ± 4.0 16.6 ± 3.2
Maximum 39.7 ± 6.7 41.2 ± 5.4
Diastolic function
Mitral E (cm s-1)
Rest 74 ± 13 75 ± 18
Maximum 151 ± 16 156 ± 19
TDI-E0, adjusted (cm s-1 mm-1)
Rest 0.27 ± 0.05 0.26 ± 0.05
Maximum 0.60 ± 0.06 0.60 ± 0.05
E/E0 adjusted
Rest 284 ± 52 297 ± 101
Maximum 251 ± 23 263 ± 36
Values are mean ± SD
* P B 0.05 athletes versus nonathletes
1994 Eur J Appl Physiol (2011) 111:1991–1997
123
of systolic and diastolic function were similar at rest and
during a progressive cycle test to exhaustion between these
two groups. Systolic ejection rate and TDI-S0, markers of
myocardial contractility, were similar at rest and rose by a
factor of approximately 2.0 in athletes and nonathletes.
Parallel improvements were observed in ventricular relax-
ation as indicated by a similar decline in TDI-E0 and a
stable E/E0 in both groups. These results mimic findings
previous reported in adolescent males (Rowland et al.
2009), supporting the conclusion that gender does not
influence the mechanistic determinants of physiologic
aerobic fitness in this age group.
Among the candidates offered by the Fick equation, the
variation in peak VO2 in the two groups of subjects was
dictated entirely by maximal stroke volume as average
values of heart rate and arterial venous oxygen difference
at maximal exercise were similar in the high- and average-
fit subjects. Then, by extension, these findings support a
model by which the increases in both myocardial con-
tractility and relaxation that normally occur during an acute
bout of progressive exercise do not serve to augment stroke
volume. This is clearly evidenced by the constant values of
stroke volume observed after the initial stages of such a test
that occur concomitant with significant rise in markers of
both systolic and diastolic functions. The effect of such
increases in myocardial performance therefore appears to
reflect the necessity for maintaining—rather than increas-
ing—stroke volume as systolic ejection and diastolic filling
periods progressively fall with increasing heart rate.
Further evidence of equality of ventricular performance
during progressive exercise in the two fitness groups
comes from the similarity observed in their patterns of
stroke volume response. In both, stroke volume ‘‘platea-
ued,’’ or remained stable after early work loads up to
exhaustion. The stroke volume curve was seen, in effect,
to be simply displaced superiorly in the high-fit subjects.
This stability of stroke volume, as noted above, is main-
tained by increasing ventricular systolic and diastolic
function as work load rises. Any exaggerated increases in
systolic and/or diastolic function, or greater functional
responses in one group compared to the other, would
35 70 105 140 175 210R25
35
45
55
65AthletesNonathletes
Power (W)
Str
oke
ind
ex (
mL
⋅m-2
)
Fig. 1 Stroke volume responses to progressive exercise in adolescent
athletes and nonathletes (mean ± SEM). Dashed line connects to
average maximal values. P \ 0.05 for all group comparisons
35 70 105 140 175 210R60
80
100
120
140
160
AthletesNon-athletes
Power (W)
Mit
ral
E (
cm⋅s
-1)
Fig. 2 Trans-mitral peak diastolic flow velocity (E wave) at rest and
during exercise
35 70 105 140 175 210R0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9AthletesNon-athletes
TD
I-E a
dj (c
m⋅ s
-1⋅ m
m-1
)
Power (W)
Fig. 3 Tissue Doppler E0 velocities at rest and during exercise
(values adjusted for left ventricular end-diastolic dimension)
35 70 105 140 175 210R150
200
250
300
350 AthletesNon-athletes
Power (W)
E /E
'ad
j
Fig. 4 E/E0 (adjusted) values for athletes and nonathletes at rest and
during exercise
Eur J Appl Physiol (2011) 111:1991–1997 1995
123
cause the stroke volume curve to rise during the course of
progressive exercise. Conversely, if myocardial functional
responses were impaired, the SV curve would fall with
increasing work loads. For example, the former pattern
has been suggested to occur in highly trained endurance
athletes (Gledhill et al. 1994), while the latter is observed
in patients with chronic heart disease (Rowland et al.
1999a, b).
Aerobic fitness is frequently considered as ‘‘cardiovas-
cular fitness’’ since individuals with higher levels of peak
VO2 are characterized by a greater capacity to generate
cardiac output. This feature, as indicated by the present
study and other reports, is a direct reflection of maximal
stroke volume. Inter-individual variations in maximal
stroke volume—the key element in aerobic fitness—are
not, however, related to any differences in heart muscle
performance. Instead, ‘‘cardiovascular fitness’’ is an
expression of non-cardiac factors, particularly increases in
plasma volume, which effect a greater ventricular end-
diastolic volume (Convertino 1991; Perrault and Turcotte
1993). Then the differences in aerobic fitness between
individuals might best be considered as a reflection of
variations in volume expansion of the cardiovascular sys-
tem rather than cardiac pumping capacity. Other factors
may play a role as well, including variations in peripheral
vascular conductance (Roche et al. 2010), and parasym-
pathetic-induced resting bradycardia (Perrault and Turcotte
1993).
The findings in the present study are consistent with the
above model but do not permit an analysis of contribution
to aerobic fitness of these extra-cardiac factors. Left ven-
tricular volume was not measured during exercise. Resting
values of left ventricular volume were greater in the high-
fit group, but group differences did not reach statistical
significance. This may be explainable by the small number
of subjects, a conclusion supported by the study of Obert
et al. (2005). These authors found that among 142 10-year-
old boys and girls, level of aerobic fitness (peak VO2) was
associated with resting values of stroke volume as well as
left ventricular chamber dimensions. In that study, resting
measures of systolic and diastolic functions did neither
emerge as predictors of VO2max, nor did systemic vascular
resistance. Unfortunately, information regarding the role of
variations in plasma volume on aerobic fitness is not
available in youth, reflecting methodological ethical
constraints.
Certain limitations of this study need to be recognized.
The number of subjects is low. Comparison of cardiac
responses to exercise was performed between high fit and
moderately fit groups, with similar levels of sexual matu-
ration, and thus the full spectrum of fitness in the healthy
adolescent population was not sampled. Previous studies of
cardiac findings involving high- and low-fit youth suggest,
however, that the findings in this study can be expected to
extend to all levels of fitness in adolescent females (Thoren
and Asano 1984; Rowland et al. 1999a, b; Obert et al.
2005). Further investigations using a broader range of fit-
ness, including responses to aerobic training and relation-
ships of variables to level of sexual maturation, are
warranted. Assessment of myocardial function in this study
did not involve all possible measures (intrinsic contractil-
ity, strain, rotation, twist, etc.), which will need to be
included in future investigations. The true mean arterial
pressure at high exercise intensities may not be accurately
estimated by the equation utilized in this study.
In summary, this study of adolescent females confirms
that (1) myocardial performance (systolic and diastolic
function) increases during an acute bout of progressive
exercise while stroke volume remains stable, (2) the
qualitative and quantitative aspects of these responses are
independent of levels of peak VO2, and, therefore, (3)
ventricular systolic and diastolic functional capacity does
not contribute to the factors which determine inter-indi-
vidual variations in aerobic fitness. Moreover, based on a
comparison with previous research data, these features
appear to be similar in young females and males.
Acknowledgments The authors are indebted to Philips Health Care
Ultrasound Division, Surrey, UK, and Gillian Nash and Julie Sand-
oval for their kind assistance in this study.
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